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dc.contributor.authorBu Y
dc.contributor.authorCarpentieri B
dc.contributor.authorShen ZL
dc.contributor.authorHuang TZ
dc.date.accessioned2018-05-24T12:16:22Z
dc.date.available2018-05-24T12:16:22Z
dc.date.issued2018
dc.identifier.issn1054-4887
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/7237411/
dc.identifier.urihttp://dx.doi.org/10.1109/CEM.2015.7237411
dc.identifier.urihttp://hdl.handle.net/10863/4726
dc.description.abstractWe introduce an algebraic recursive multilevel approximate inverse-based preconditioner, based on a distributed Schur complement formulation. The proposed preconditioner combines recursive combinatorial algorithms and multilevel mechanisms to maximize sparsity during the factorization.en_US
dc.language.isoenen_US
dc.rights
dc.titleMultilevel Inverse-Based Factorization Preconditioner for Solving Sparse Linear Systems in Electromagneticsen_US
dc.typeArticleen_US
dc.date.updated2018-05-15T12:34:29Z
dc.language.isiEN-GB
dc.journal.titleApplied Computational Electromagnetics Society Journal
dc.description.fulltextopenen_US


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